* chore: Initial draft of stubs * updates * chore: Add comments and mock implementation of the add_episode method * chore: Add success and error callbacks * stub updates --------- Co-authored-by: prestonrasmussen <prasmuss15@gmail.com>
88 lines
3 KiB
Python
88 lines
3 KiB
Python
from abc import ABC, abstractmethod
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from pydantic import BaseModel, Field
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from datetime import datetime
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from neo4j import AsyncDriver
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from uuid import uuid1
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import logging
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from core.nodes import Node
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logger = logging.getLogger(__name__)
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class Edge(BaseModel, ABC):
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uuid: Field(default_factory=lambda: uuid1().hex)
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source_node: Node
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target_node: Node
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transaction_from: datetime
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@abstractmethod
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async def save(self, driver: AsyncDriver): ...
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class EpisodicEdge(Edge):
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async def save(self, driver: AsyncDriver):
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result = await driver.execute_query(
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"""
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MATCH (episode:Episodic {uuid: $episode_uuid})
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MATCH (node:Semantic {uuid: $semantic_uuid})
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MERGE (episode)-[r:MENTIONS {uuid: $uuid}]->(node)
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SET r = {uuid: $uuid, transaction_from: $transaction_from}
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RETURN r.uuid AS uuid""",
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episode_uuid=self.source_node.uuid,
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semantic_uuid=self.target_node.uuid,
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uuid=self.uuid,
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transaction_from=self.transaction_from,
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)
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logger.info(f"Saved edge to neo4j: {self.uuid}")
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return result
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# TODO: Neo4j doesn't support variables for edge types and labels.
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# Right now we have all edge nodes as type RELATES_TO
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class SemanticEdge(Edge):
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name: str
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fact: str
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fact_embedding: list[int] = None
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episodes: list[str] = None # list of episodes that reference these semantic edges
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transaction_to: datetime = None # datetime of when the node was invalidated
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valid_from: datetime = None # datetime of when the fact became true
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valid_to: datetime = None # datetime of when the fact stopped being true
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def generate_embedding(self, embedder, model="text-embedding-3-large"):
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text = self.fact.replace("\n", " ")
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embedding = embedder.create(input=[text], model=model).data[0].embedding
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self.fact_embedding = embedding
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return embedding
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async def save(self, driver: AsyncDriver):
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result = await driver.execute_query(
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"""
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MATCH (source:Semantic {uuid: $source_uuid})
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MATCH (target:Semantic {uuid: $target_uuid})
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MERGE (source)-[r:RELATES_TO {uuid: $uuid}]->(target)
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SET r = {uuid: $uuid, name: $name, fact: $fact, fact_embedding: $fact_embedding,
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episodes: $episodes, transaction_from: $transaction_from, transaction_to: $transaction_to,
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valid_from: $valid_from, valid_to: $valid_to}
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RETURN r.uuid AS uuid""",
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source_uuid=self.source_node.uuid,
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target_uuid=self.target_node.uuid,
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uuid=self.uuid,
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name=self.name,
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fact=self.fact,
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fact_embedding=self.fact_embedding,
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episodes=self.episodes,
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transaction_from=self.transaction_from,
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transaction_to=self.transaction_to,
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valid_from=self.valid_from,
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valid_to=self.valid_to,
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)
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logger.info(f"Saved Node to neo4j: {self.uuid}")
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return result
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